restaurant_test_at_local
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5402
- Wer: 0.0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 10.0 | 10 | 3.7743 | 100.0 |
| No log | 20.0 | 20 | 0.6750 | 52.6316 |
| 3.6042 | 30.0 | 30 | 0.5724 | 0.0 |
| 3.6042 | 40.0 | 40 | 0.5402 | 0.0 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.11.0+cu115
- Datasets 2.9.0
- Tokenizers 0.13.2